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2020 – today
- 2024
[c14]Musa Aydin, Zeki Kus, Zeliha Kaya Akçelik:
A Hybrid CNN-Tree Based Model for Enhanced Image Classification Performance. SIU 2024: 1-4- [c13]Musa Aydin, Zeki Kus, Berna Kiraz, Reyhan Hosavci, Alper Kiraz:
The Effect of Class-Weighted Penalization in Deep Neural Networks for Multi-Class Cell Segmentation. SIU 2024: 1-4 - [c12]Zeki Kus, Berna Kiraz, Musa Aydin, Alper Kiraz:
PBC-NAS: Neural Architecture Search for Peripheral Blood Cells Classification. SIU 2024: 1-4 - [i2]Xilin Yang, Bijie Bai, Yijie Zhang, Musa Aydin, Sahan Yoruc Selcuk, Zhen Guo, Gregory A. Fishbein, Karine Atlan, William Dean Wallace, Nir Pillar, Aydogan Ozcan:
Virtual birefringence imaging and histological staining of amyloid deposits in label-free tissue using autofluorescence microscopy and deep learning. CoRR abs/2403.09100 (2024) - [i1]Sahan Yoruc Selcuk, Xilin Yang, Bijie Bai, Yijie Zhang, Yuzhu Li, Musa Aydin, Aras Firat Unal, Aditya Gomatam, Zhen Guo, Morgan Angus Darrow, Goren Kolodney, Karine Atlan, Tal Keidar Haran, Nir Pillar, Aydogan Ozcan:
Automated HER2 Scoring in Breast Cancer Images Using Deep Learning and Pyramid Sampling. CoRR abs/2404.00837 (2024) - 2022
- [j2]Furkan Eren, Mete Aslan
, Dilek Kanarya, Yigit Uysalli, Musa Aydin, Berna Kiraz, Omer Aydin, Alper Kiraz:
DeepCAN: A Modular Deep Learning System for Automated Cell Counting and Viability Analysis. IEEE J. Biomed. Health Informatics 26(11): 5575-5583 (2022) - [c11]Zeki Kus, Musa Aydin, Berna Kiraz, Burhanettin Can:
Neural Architecture Search Using Metaheuristics for Automated Cell Segmentation. MIC 2022: 158-171 - [c10]Zeki Kus, Musa Aydin:
Removal of Gaussian Distributed Noise in Images with Deep Neural Network Models. SIU 2022: 1-4 - 2021
- [c9]Musa Aydin:
Medical Image Segmentation Using Deep Neural Networks. SIU 2021: 1-4 - 2020
- [b1]Musa Aydin:
GPU tabanlı paralel hesaplama tekniği ile LED tabanlı ve DMD Uygulamalı yapılandırılmış aydınlatma kullanan bir görüntüleme sisteminin oluşturulması (Development of an imaging system using LED based and DMD applied structured illumination with GPU based parallel computing). Marmara University, Turkey, 2020 - [c8]Musa Aydin, Alper Kiraz, Yigit Uysalli, Ekin Özgönül, Berna Morova:
Image Reconstruction in Frequency Space using Sinusoidal Illumination Patterns. SIU 2020: 1-4
2010 – 2019
- 2016
- [c7]Musa Aydin, Emin Kugu:
Finding smoothness area on the topographic maps for the unmanned aerial vehicle's landing site estimation. DICTAP 2016: 183-186 - [c6]Musa Aydin, Emin Kugu:
Safe landing site detection using SRTM data for the Unmanned Aerial Vehicles. SIU 2016: 2125-2128 - 2014
- [c5]Bahadir Akbal, Musa Aydin:
CSA-Kapur Method to determine ice load amount on electric transmission line conductors. ECAI 2014: 19-22 - [c4]Bahadir Akbal, Musa Aydin:
Comparison of PSO-Kapur and DE-Kapur methods to determine ice load on aerial lines. ECAI 2014: 23-28 - 2013
- [c3]Musa Aydin, Enes Celik:
Early detection of hazardous weather conditions in Turkey with satellite images using Support Vector Machines and Artificial Neural Networks. SIU 2013: 1-4 - [c2]Musa Aydin, Enes Celik:
Assamese character recognition with Artificial Neural Networks. SIU 2013: 1-4 - 2012
- [c1]Mustafa Istanbullu, Musa Aydin, Rifat Benveniste, Osman Nuri Uçan, Rachid Jennane:
Early diagnosis of osteoporosis using Artificial Neural Networks and Support Vector Machines. SIU 2012: 1-4 - 2011
- [j1]Semiye Demircan, Musa Aydin, S. Savas Durduran:
Finding optimum route of electrical energy transmission line using multi-criteria with Q-learning. Expert Syst. Appl. 38(4): 3477-3482 (2011)
Coauthor Index
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